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Using Artificial Neural Network to Test Image Covert Communication Effect
Caswell Nkuna
, Ebenezer Esenogho
,
Reolyn Heymann
, Edwin Matlotse
Electrical and Electronic Engineering Science
University of Johannesburg
University of Botswana
Research output
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Contribution to journal
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Article
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peer-review
1
Citation (Scopus)
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Keyphrases
Artificial Neural Network
100%
Least Significant Bit
100%
Covert Communication
100%
Communication Effect
100%
Data Security
66%
Image Recognition
66%
Discrete Cosine Transform
66%
Image Steganography
66%
Stego Image
66%
System Performance
33%
Neural Network
33%
Encoding Method
33%
Cover Image
33%
Neural Network System
33%
High Robustness
33%
Personal Information
33%
Security Strategy
33%
Social Information
33%
Steganography
33%
Coding Information
33%
Data Payload
33%
Stego
33%
Optimum Ratio
33%
Steganography Techniques
33%
Tensorflow Keras
33%
Communication Mode
33%
Soft Tools
33%
Neural Network Reduction
33%
Computer Science
Neural Network
100%
Steganography
100%
Covert Communication
100%
Artificial Neural Network
100%
Data Security
66%
stego image
66%
Discrete Cosine Transform
66%
Systems Performance
33%
Personal Information
33%
Security Strategy
33%
Communication Technique
33%
Keras
33%
Social Information
33%
TensorFlow
33%